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BeQut is a R-package for Bayesian estimation of quantile regression mixed models. Based on the asymmetric Laplace distribution, it also allows to estimate joint models for longitudinal and time-to-event data, linear mixed effects models and simple linear models.
Yang, M., Luo, S., & DeSantis, S. (2019). Bayesian quantile regression joint models: Inference and dynamic predictions. Statistical Methods in Medical Research, 28(8), 2524–2537. https://doi.org/10.1177/0962280218784757
To try the current development version from github, use:
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")}
devtools::install_github("AntoineBbi/BeQut")Warning: BeQut package requires JAGS software (http://mcmc-jags.sourceforge.net/).
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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